具有数据透视和行总计的oracle查询

这是我的全部需求以及创建和插入命令

    create table sample
    ( schedule_id varchar2(256),
    schedule_details varchar2(256),
    pod_name varchar2(256),
    milestone varchar2(256),
    metric_column varchar2(256),
    metric_value varchar2(4000));

    insert into sample values ('23456','details','ABCD','M1','status','DONE');
    insert into sample values ('123456','details','ABCD','M1','progress','GREEN');
    insert into sample values ('123456','details','ABCD','M1','last_reported','2016-03-18 04:18:56');
    insert into sample values ('123456','det','ABCD','M2','status','DONE');
    insert into sample values ('123456','det','ABCD','M2','progress','RED');
    insert into sample values ('123456','det','ABCD','M2','last_reported','2016-03-19 04:18:56');
    insert into sample values ('123456','det','ABCD','M3','status','SKIP');
    insert into sample values ('123456','det','ABCD','M3','progress','YELLOW');
    insert into sample values ('123456','det','ABCD','M3','last_reported','2016-03-20 04:18:56');
    insert into sample values ('123456','det''EFGH','M1','status','DONE');
    insert into sample values ('123456','det','EFGH','M1','progress','GREEN');
    insert into sample values ('123456','det','EFGH','M1','last_reported','2016-03-10 04:18:56');
    insert into sample values ('123456','det','EFGH','M2','status','DONE');
    insert into sample values ('123456','det','EFGH','M2','progress','RED');
    insert into sample values ('123456','det','EFGH','M2','last_reported','2016-03-12 04:18:56');
    insert into sample values ('123456','det','EFGH','M3','status','SKIP');
    insert into sample values ('123456','det','EFGH','M3','progress','YELLOW');
    insert into sample values ('123456','det','EFGH','M3','last_reported','2016-03-11 04:18:56');
    insert into sample values ('7890','det','ABCD','M1','status','DONE');
    insert into sample values ('7890','det','ABCD','M1','progress','GREEN');
    insert into sample values ('7890','det','ABCD','M1','last_reported','2016-04-18 04:18:56');
    insert into sample values ('7890','det','ABCD','M2','status','DONE');
    insert into sample values ('7890','det','ABCD','M2','progress','RED');
    insert into sample values ('7890','det','ABCD','M2','last_reported','2016-04-19 04:18:56');
    insert into sample values ('7890','det','ABCD','M3','status','FAILED');
    insert into sample values ('7890','det','ABCD','M3','progress','GREEN');
    insert into sample values ('7890','det','ABCD','M3','last_reported','2016-04-20 04:18:56');
    insert into sample values ('7890','det','PQRS','M1','status','DONE');
    insert into sample values ('7890','det','PQRS','M1','progress','GREEN');
    insert into sample values ('7890','det','PQRS','M1','last_reported','2016-04-10 04:18:56');
    insert into sample values ('7890','det','PQRS','M2','status','DONE');
    insert into sample values ('7890','det','PQRS','M2','progress','RED');
    insert into sample values ('7890','det','PQRS','M2','last_reported','2016-04-11 04:18:56');
    insert into sample values ('7890','det','PQRS','M3','status','SKIP');
    insert into sample values ('7890','det','PQRS','M3','progress','GREEN');
    insert into sample values ('7890','det','PQRS','M3','last_reported','2016-04-12 04:18:56');

我的输出是

    SCHEDULE_ID      |   STATUS_DONE   |  STATUS_SKIP    | STATUS_FAILED  | STATUS_TOTAL      |  PROGRESS_RED  | PROGRESS_GREEN   | PROGRESS_YELLOW    | PROGRESS_TOTAL
    --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
    123456           | 1               | 1               | 0               | 2                 | 1               |  0               |  1                 | 2
    7890             |  0              | 2               | 0               |  2                 | 0               | 1                | 1                  |  2

查询需要为每个计划id获取不同数量的pod_名称。对于每个pod，它需要获取具有最新度量列->上次报告的里程碑的度量列->状态和度量列->进度。因此STATUS_DONE的值是具有最新里程碑（基于上次报告的_）作为STATUS DONE的POD_名称的数量

例如，对于计划id 123456，pod ABCD，里程碑M3的状态和进度需要视为M3与M1和M2相比具有最新的上次报告

我的查询具有不同的pod名称，但没有考虑最新的里程碑

    select *
    from (SELECT  SCHEDULE_ID,SCHEDULE_DETAILS,POD_NAME,
    CASE WHEN GROUPING(value) = 0
     THEN value
     ELSE CASE WHEN METRIC_COLUMN='status'
          THEN 'STATUS_TOTAL'
          ELSE 'PROGRESS_TOTAL'
          END
     END value
    FROM sample
    WHERE metric_column IN ('status','progress' )
    GROUP BY SCHEDULE_ID,SCHEDULE_DETAILS,POD_NAME, METRIC_COLUMN, ROLLUP(value))
    PIVOT (COUNT( DISTINCT POD_NAME) FOR VALUE in ('DONE' AS "DONE",'SKIP' AS "SKIP",'FAILED' AS "FAILED",'STATUS_TOTAL' AS "STATUS_TOTAL",'GREEN' AS GREEN,'RED' AS "RED",'YELLOW' AS "YELLOW", 'PROGRESS_TOTAL' AS "PROGRESS_TOTAL"));